pygrok

A Python library to parse strings and extract information from structured/unstructured data

What can I use Grok for?

• parsing and matching patterns in a string(log, message etc.)
• relieving from complex regular expressions.
• extracting information from structured/unstructured data

Installation

    $ pip install pygrok

or download, uncompress and install pygrok from here:

    $ tar zxvf pygrok-xx.tar.gz
    $ cd pygrok_dir
    $ sudo python setup.py install

Getting Started

from pygrok import Grok
text = 'gary is male, 25 years old and weighs 68.5 kilograms'
pattern = '%{WORD:name} is %{WORD:gender}, %{NUMBER:age} years old and weighs %{NUMBER:weight} kilograms'
grok = Grok(pattern)
print grok.match(text)

# {'gender': 'male', 'age': '25', 'name': 'gary', 'weight': '68.5'}

Pretty Cool !

Numbers can be converted from string to int or float if you use %{pattern:name:type} syntax, such as %{NUMBER:age:int}

from pygrok import Grok
text = 'gary is male, 25 years old and weighs 68.5 kilograms'
pattern = '%{WORD:name} is %{WORD:gender}, %{NUMBER:age:int} years old and weighs %{NUMBER:weight:float} kilograms'
grok = Grok(pattern)
print grok.match(text, pattern)

# {'gender': 'male', 'age': 25, 'name': 'gary', 'weight': 68.5}

Now age is of type int and weight is of type float.

Awesome !

Some of the pattern you can use are listed here:

`WORD` means \b\w+\b in regular expression.
`NUMBER` means (?:%{BASE10NUM})
`BASE10NUM` means (?<![0-9.+-])(?>[+-]?(?:(?:[0-9]+(?:\.[0-9]+)?)|(?:\.[0-9]+)))

other patterns such as `IP`, `HOSTNAME`, `URIPATH`, `DATE`, `TIMESTAMP_ISO8601`, `COMMONAPACHELOG`..

See All patterns here

You can also have custom pattern, see these codes.

More details

Beause python re module does not support regular expression syntax atomic grouping(?>),so pygrok requires regex to be installed.

pygrok is inspired by Grok developed by Jordan Sissel. This is not a wrapper of Jordan Sissel's Grok and totally implemented by me.

Grok is a simple software that allows you to easily parse strings, logs and other files. With grok, you can turn unstructured log and event data into structured data.Pygrok does the same thing.

I recommend you to have a look at logstash filter grok, it explains how Grok-like thing work.

pattern files come from logstash filter grok's pattern files

Contribute

• You are encouraged to fork, improve the code, then make a pull request.
• Issue tracker

Get Help

mail:garygaowork@gmail.com
twitter:@garyelephant

Contributors

Thanks to all contributors